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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine
Zhiyi He, Haidong Shao, Ziyang Ding, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 1, pp. 845-855
Closed Access | Times Cited: 142

Showing 1-25 of 142 citing articles:

Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework
Wei Li, Xiang Zhong, Haidong Shao, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101552-101552
Closed Access | Times Cited: 216
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds
Hongru Cao, Haidong Shao, Xiang Zhong, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 186-198
Closed Access | Times Cited: 206
Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation
Haidong Shao, Wei Li, Baoping Cai, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 9, pp. 9933-9942
Closed Access | Times Cited: 177
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network
Xiaoli Zhao, Jianyong Yao, Wenxiang Deng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 9, pp. 6339-6353
Closed Access | Times Cited: 127
A review of data-driven fault detection and diagnostics for building HVAC systems
Zhelun Chen, Zheng O’Neill, Jin Wen, et al.
Applied Energy (2023) Vol. 339, pp. 121030-121030
Open Access | Times Cited: 112
Bearing fault diagnosis using transfer learning and optimized deep belief network
Huimin Zhao, Xiaoxu Yang, Baojie Chen, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 6, pp. 065009-065009
Closed Access | Times Cited: 103
A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis
Ruixin Wang, Hongkai Jiang, Ke Zhu, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101750-101750
Closed Access | Times Cited: 91
Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging
Junbin Chen, Jipu Li, Ruyi Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 80
Transfer learning based on improved stacked autoencoder for bearing fault diagnosis
Shuyang Luo, Xufeng Huang, Yanzhi Wang, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109846-109846
Closed Access | Times Cited: 72
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 65
A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings
Li Jiang, Tianao Zhang, Lei Wei, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101966-101966
Closed Access | Times Cited: 54
Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data
Xin Zhang, Xi Zhang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106601-106601
Closed Access | Times Cited: 44
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions
Rui Wang, Weiguo Huang, Yixiang Lu, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109463-109463
Open Access | Times Cited: 43
Harmonic-Gaussian double-well potential stochastic resonance with its application to enhance weak fault characteristics of machinery
Zijian Qiao, Shuai Chen, Zhihui Lai, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 8, pp. 7293-7307
Open Access | Times Cited: 40
A Novel Noise-Aided Fault Feature Extraction Using Stochastic Resonance in a Nonlinear System and Its Application
Jianhua Yang, Zhile Wang, Yu Guo, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 11856-11866
Closed Access | Times Cited: 23
Deep Targeted Transfer Learning Along Designable Adaptation Trajectory for Fault Diagnosis Across Different Machines
Bin Yang, Yaguo Lei, Xiang Li, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 9, pp. 9463-9473
Closed Access | Times Cited: 64
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions
Shengkang Yang, Xianguang Kong, Qibin Wang, et al.
Knowledge-Based Systems (2022) Vol. 249, pp. 108639-108639
Closed Access | Times Cited: 63
Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery
Yadong Xu, Xiaoan Yan, Ke Feng, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108714-108714
Closed Access | Times Cited: 63
A deep learning predictive model for selective maintenance optimization
Hadis Hesabi, Mustapha Nourelfath, Adnène Hajji
Reliability Engineering & System Safety (2021) Vol. 219, pp. 108191-108191
Closed Access | Times Cited: 61
Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings
Yifei Ding, Minping Jia
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 58
Full Attention Wasserstein GAN With Gradient Normalization for Fault Diagnosis Under Imbalanced Data
Jigang Fan, Xianfeng Yuan, Zhaoming Miao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-16
Closed Access | Times Cited: 48
A conditional variational autoencoding generative adversarial networks with self-modulation for rolling bearing fault diagnosis
Yunpeng Liu, Hongkai Jiang, Yanfeng Wang, et al.
Measurement (2022) Vol. 192, pp. 110888-110888
Closed Access | Times Cited: 43
A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis
Shaowei Liu, Hongkai Jiang, Yanfeng Wang, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101598-101598
Closed Access | Times Cited: 40
A deep reinforcement transfer convolutional neural network for rolling bearing fault diagnosis
Zhenghong Wu, Hongkai Jiang, Shaowei Liu, et al.
ISA Transactions (2022) Vol. 129, pp. 505-524
Closed Access | Times Cited: 37
Adaptive Multiscale Convolution Manifold Embedding Networks for Intelligent Fault Diagnosis of Servo Motor-Cylindrical Rolling Bearing Under Variable Working Conditions
Xingjun Zhu, Xiaoli Zhao, Jianyong Yao, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 3, pp. 2230-2240
Closed Access | Times Cited: 34
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